metadata
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: shawgpt-ft
results: []
shawgpt-ft
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8528
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 16
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.6193 | 0.9231 | 3 | 4.1003 |
| 4.3201 | 1.8462 | 6 | 3.8086 |
| 3.9755 | 2.7692 | 9 | 3.5351 |
| 2.7376 | 4.0 | 13 | 3.1911 |
| 3.3753 | 4.9231 | 16 | 2.9601 |
| 3.0944 | 5.8462 | 19 | 2.7577 |
| 2.8686 | 6.7692 | 22 | 2.5897 |
| 2.0042 | 8.0 | 26 | 2.3885 |
| 2.4887 | 8.9231 | 29 | 2.2642 |
| 2.3262 | 9.8462 | 32 | 2.1536 |
| 2.2109 | 10.7692 | 35 | 2.0500 |
| 1.5436 | 12.0 | 39 | 1.9406 |
| 1.9916 | 12.9231 | 42 | 1.8923 |
| 1.9223 | 13.8462 | 45 | 1.8639 |
| 1.4561 | 14.7692 | 48 | 1.8528 |
Framework versions
- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.2
- Tokenizers 0.19.1